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Titlebook: IoT Solutions in Microsoft‘s Azure IoT Suite; Data Acquisition and Scott Klein Book 2017 Scott Klein 2017 IoT.Internet of Things.NoSQL.Azur

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樓主: ETHOS
31#
發(fā)表于 2025-3-27 00:20:03 | 只看該作者
32#
發(fā)表于 2025-3-27 03:49:22 | 只看該作者
https://doi.org/10.1007/978-1-4842-2143-3IoT; Internet of Things; NoSQL; Azure; Microsoft Analytics; Real-Time Processing; Big Data; Azure IoT Hub; S
33#
發(fā)表于 2025-3-27 05:45:52 | 只看該作者
Azure Data Lake AnalyticsBig data analytics is about collecting and analyzing large data sets in order to discover useful information and gain valuable insights previously unknown. The analysis of these large data sets helps uncover hidden patterns, find market trends, discover unknown correlations, and otherwise find treasures of valuable information.
34#
發(fā)表于 2025-3-27 11:37:02 | 只看該作者
Azure Data CatalogThroughout this book, you have learned that data can come from many different sources and many different formats. Specifically speaking, the source of the data for this book has come from a number of devices and sensors. The different sources and formats are two of the three Vs mentioned at the beginning of this book: variety and volume.
35#
發(fā)表于 2025-3-27 17:08:23 | 只看該作者
36#
發(fā)表于 2025-3-27 21:14:15 | 只看該作者
Azure IoT Hub a larger IoT solution in which the devices are sending their data to the cloud for storage, processing, and analysis. At a high level, IoT solutions can be broken down into core essentials of device connectivity and data processing and analysis, as shown in Figure 3-1.
37#
發(fā)表于 2025-3-27 22:48:19 | 只看該作者
38#
發(fā)表于 2025-3-28 05:34:59 | 只看該作者
Azure Data Factory 5 and 6 walked through the process of using Azure Stream Analytics to pick the data up from Azure IoT Hub and route it to hot path or cold path destinations, depending on the analysis needs for data insights.
39#
發(fā)表于 2025-3-28 06:22:53 | 只看該作者
40#
發(fā)表于 2025-3-28 11:22:32 | 只看該作者
Azure HDInsights increased demand and ingestion speed increases. Azure Data Lake Store (ADLA) is an analytics service that lets you focus on gaining valuable data insights via writing and running jobs rather than spending time on the infrastructure.
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